Senior Staff Software Engineer, AI Developer Experience

About the role

Employee Applicant Privacy Notice

Who we are:

Shape a brighter financial future with us.

Together with our members, we’re changing the way people think about and interact with personal finance.

We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.

The role:

SoFi's AI Platform team builds the foundation that lets every engineer at SoFi ship faster, safer, and with more leverage from AI. Our AI Developer Experience (AI DevEx) team owns SoFi's interactive coding strategy and the underlying infrastructure: AI economics, coding harnesses and harness vending, our evaluation platform, the AI Gateway, and intelligent model routing.

As a founding Senior Staff Software Engineer, you'll be the technical lead and subject matter expert for this area across AI Platform: setting architecture, shaping the interactive coding strategy, and leading work across Autonomous Coding, CI/CD, Code Factory, and our customer engineering teams.

What you’ll do:

-

Set Technical Direction: Define and drive the architecture for the enterprise AI Gateway, model routing, automated evaluation platform, and harness vending, ensuring seamless support for interactive and autonomous workflows across multiple business units.

-

Shape Strategy & Roadmaps: Proactively identify systemic developer productivity bottlenecks, translate opportunities into a 12–24 month technical roadmap, and execute high-impact design and build initiatives.

-

Lead AI Economics Engineering: Architect cost models, metering systems, telemetry, and adaptive routing policies that balance model accuracy, latency, and operational spend across the engineering organization.

-

Drive Cross-Group Initiatives: Plan and technically lead initiatives spanning multiple engineering teams; establish shared interfaces and platform contracts with Autonomous Coding, CI/CD pipelines, and Code Factory.

-

Resolve Architectural Deficiencies: Identify and remediate root causes of complex architectural bottlenecks (latency, throughput, state management, dependencies) across distributed systems.

-

Evaluate Build-vs-Buy Choices: Continuously assess emerging AI tooling and foundational models, recommending vendor-neutral, future-proof integration patterns.

-

Represent Group Architecture: Lead department-level technical planning, establish architectural RFC standards, and facilitate rigorous design reviews across product areas.